@ARTICLE{2022arXiv220307341R,
    author = {{Rossolini}, Giulio and {Nesti}, Federico and {Brau}, Fabio and {Biondi}, Alessandro and {Buttazzo}, Giorgio},
    title = "{Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis}",
    journal = {arXiv e-prints},
    keywords = {Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence},
    year = 2022,
    month = mar,
    eid = {arXiv:2203.07341},
    pages = {arXiv:2203.07341},
    archivePrefix = {arXiv},
    eprint = {2203.07341},
    primaryClass = {cs.CV},
    adsurl = {https://ui.adsabs.harvard.edu/abs/2022arXiv220307341R},
    adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}